Determining The Effect of Mass Selection for FHB Resistance in Soft Red Winter Wheat Using an Image-Based Optical Sorter

2019 ◽  
Vol 9 (2) ◽  
pp. 278-296
Author(s):  
Hussein M. Khaeim ◽  
Anthony Clark ◽  
Tom Pearson ◽  
Dr. David Van Sanford
Keyword(s):  
Resistance Breeding ◽  
Phenotypic Selection ◽  
Triticum Aestivum L ◽  
Gibberella Zeae ◽  
Scab Resistance ◽  
Mass Selection ◽  
Conidial Suspension ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Selection For

Fusarium head blight (FHB) or head scab, caused by Fusarium graminearum Schwabe [telomorph: Gibberella zeae Schwein.(Petch)], is one of the most destructive diseases of wheat (Triticum aestivum L.) worldwide. Numerous strategies for scab resistance breeding are in use, including phenotypic selection for low severity and marker-assisted selection for resistance QTL. The most destructive consequences of scab are evidenced through a reduction in grain quality, and the presence of mycotoxins, the most common of which is deoxynivalenol (DON). Thus, there is great interest among breeders in selecting for resistance to both of these traits. To this end, a study was devised as follows. In 2010, 20 bulk F3 SRW wheat populations with scab resistant parents in their pedigrees were harvested by population from unreplicated plots near Lexington, KY. The plots were affected by a naturally occurring mild-moderate scab epidemic. The grain was sorted on a USDA/ARS and National Manufacturing Seed Sorter System with color camera according to a calibration that reflected visual differences between asymptomatic grain and grain showing FHB symptoms. This process was repeated in 2011 using grain from plots that had conidial suspension applied at anthesis. In 2012, an unreplicated plot study of the C0, C1 and C2 cycles of selection, inoculated with grain spawn and conidial suspension, was evaluated for Fusarium damaged kernels (FDK) and DON concentration. An additional cycle of selection was conducted by running the bulk grain through the sorter. In October 2012, 4 selection cycles of the 20 populations were planted in a RCB experiment at Lexington and Princeton, KY. Bulk populations were planted in both scab nursery and plots, and C3 accepted and rejected of all populations and derived lines of 2 populations were planted in the scab nursery in Lexington, KY. Some populations had FDK and DON reduction with selection, and some derived lines had either numerical or significant reduction with selection. Although the accepted fraction had non-significant reduction compared with the rejected fraction over the populations, FDK and DON means were obviously lower in accepted than in rejected fractions.

scholarly journals Mass Selection for Reduced Deoxynivalenol Concentration Using an Optical Sorter in SRW Wheat

Agronomy ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 816 ◽  
Author(s):  
W. Jesse Carmack ◽  
Anthony J. Clark ◽  
Yanhong Dong ◽  
David A. Van Sanford
Keyword(s):  
Resistance Breeding ◽  
Field Evaluation ◽  
Triticum Aestivum L ◽  
Breeding Strategy ◽  
Mass Selection ◽  
Head Blight ◽  
Breeding Lines ◽  
Line Selection ◽  
Fhb Resistance ◽  
Primary Measure

Fusarium head blight (FHB) of wheat (Triticum aestivum L.) results in discolored Fusarium damaged kernels (FDK) contaminated with deoxynivalenol (DON). DON accumulation, a primary measure of FHB resistance, can be used as a basis for selection, but testing each genotype in several genetically variable populations is expensive and time-consuming. Therefore, FHB resistance breeding decisions are routinely based on in-field phenotypic evaluation. However, using an optical sorter as an alternative to in-field evaluation, mass selection (MS) for FHB resistance can be quickly performed post-harvest. The objective of this study was to utilize an optical seed sorter to select breeding lines with enhanced FHB resistance (lower DON and FDK values). Three hundred F4 derived breeding lines were grown in an inoculated disease nursery over several years in Lexington, KY. Grain from each breeding line was sorted using an optical seed sorter calibrated to reject scabby (discolored) seed. The accepted (non-scabby) seed was used to plant subsequent generations. DON and kernel damage traits were lowered each cycle of line selection with the optical sorter. Our findings suggest that optically sorting grain may be an effective breeding strategy for lowering DON accumulation and limiting kernel damage associated with FHB.

scholarly journals Predicting Fusarium Head Blight Resistance for Advanced Trials in a Soft Red Winter Wheat Breeding Program With Genomic Selection

2021 ◽  
Vol 12 ◽  
Author(s):  
Dylan L. Larkin ◽  
Richard Esten Mason ◽  
David E. Moon ◽  
Amanda L. Holder ◽  
Brian P. Ward ◽  
...  
Keyword(s):  
Phenotypic Selection ◽  
Breeding Cycle ◽  
Response To Selection ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Forward Prediction ◽  
Fhb Resistance ◽  
Selection For ◽  
Red Winter Wheat ◽  
Better Than

Many studies have evaluated the effectiveness of genomic selection (GS) using cross-validation within training populations; however, few have looked at its performance for forward prediction within a breeding program. The objectives for this study were to compare the performance of naïve GS (NGS) models without covariates and multi-trait GS (MTGS) models by predicting two years of F4:7 advanced breeding lines for three Fusarium head blight (FHB) resistance traits, deoxynivalenol (DON) accumulation, Fusarium damaged kernels (FDK), and severity (SEV) in soft red winter wheat and comparing predictions with phenotypic performance over two years of selection based on selection accuracy and response to selection. On average, for DON, the NGS model correctly selected 69.2% of elite genotypes, while the MTGS model correctly selected 70.1% of elite genotypes compared with 33.0% based on phenotypic selection from the advanced generation. During the 2018 breeding cycle, GS models had the greatest response to selection for DON, FDK, and SEV compared with phenotypic selection. The MTGS model performed better than NGS during the 2019 breeding cycle for all three traits, whereas NGS outperformed MTGS during the 2018 breeding cycle for all traits except for SEV. Overall, GS models were comparable, if not better than phenotypic selection for FHB resistance traits. This is particularly helpful when adverse environmental conditions prohibit accurate phenotyping. This study also shows that MTGS models can be effective for forward prediction when there are strong correlations between traits of interest and covariates in both training and validation populations.

Comparing Genetic Variation within Red Winter Wheat Populations with and without Image-Based Optical Sorter Selection

2019 ◽  
Vol 9 (2) ◽  
pp. 266-277
Author(s):  
Hussein M. Khaeim ◽  
Anthony Clark ◽  
Tom Pearson ◽  
Dr. David Van Sanford
Keyword(s):  
Genetic Variation ◽  
Fusarium Head Blight ◽  
Heading Date ◽  
Fusarium Head Blight Resistance ◽  
Gibberella Zeae ◽  
Mass Selection ◽  
Head Blight ◽  
Red Winter Wheat ◽  
Two Populations ◽  
Head Scab

Head scab is historically a devastating disease affecting not just all classes of wheat but also barley and other small grains around the world. Fusarium head blight (FHB), or head scab, is caused most often by Fusarium graminearum (Schwabe), (sexual stage – Gibberella zeae) although several Fusarium spp. can cause the disease. This study was conducted to determine the effect of mass selection for FHB resistance using an image-based optical sorter. lines were derived from the C0 and C2 of two populations to compare genetic variation within populations with and without sorter selection. Our overall hypothesis is that sorting grain results in improved Fusarium head blight resistance. Both of the used wheat derived line populations have genetic variation, and population 1 has more than population 17. They are significantly different from each other for fusarium damged kernel (FDK), deoxynivalenol (DON), and other FHB traits. Although both populations are suitable to be grown for bulks, population 1 seems better since it has more genetic variation as well as lower FDK and DON, and earlier heading date. Lines within each population were significantly different and some lines in each population had significantly lower FDK and DON after selection using an optical sorter. Some lines had significant reduction in both FDK and DON, and some others had either FDK or DON reduction. Lines of population 1 that had significant reduction, were more numerous than in population 17, and FDK and DON reduction were greater.

scholarly journals Survival and Inoculum Production of Gibberella zeae in Wheat Residue

Plant Disease ◽  
2004 ◽  
Vol 88 (7) ◽  
pp. 724-730 ◽  
Author(s):  
S. A. Pereyra ◽  
R. Dill-Macky ◽  
A. L. Sims
Keyword(s):  
Management Strategies ◽  
Soil Surface ◽  
Triticum Aestivum L ◽  
Gibberella Zeae ◽  
Effective Management ◽  
Head Blight ◽  
Fusarium Spp ◽  
Residue Decomposition ◽  
Inoculum Production ◽  
Mesh Bags

Survival and inoculum production of Gibberella zeae (Schwein.) Petch (anamorph Fusarium graminearum (Schwabe)), the causal agent of Fusarium head blight of wheat and barley, was related to the rate of wheat (Triticum aestivum L.) residue decomposition. Infested wheat residue, comprising intact nodes, internodes, and leaf sheaths, was placed in fiberglass mesh bags on the soil surface and at 7.5- to 10-cm and 15- to 20-cm depths in chisel-plowed plots and 15 to 20 cm deep in moldboard-plowed plots in October 1997. Residue was sampled monthly from April through November during 1998 and every 2 months through April to October 1999. Buried residue decomposed faster than residue placed on the soil surface. Less than 2% of the dry-matter residue remained in buried treatments after 24 months in the field, while 25% of the residue remained in the soil-surface treatment. Survival of G. zeae on node tissues was inversely related to the residue decomposition rate. Surface residue provided a substrate for G. zeae for a longer period of time than buried residue. Twenty-four months after the initiation of the trial, the level of colonization of nodes in buried residue was half the level of colonization of residue on the soil surface. Colonization of node tissues by G. zeae decreased over time, but increased for other Fusarium spp. Ascospores of G. zeae were still produced on residue pieces after 23 months, and these spores were capable of inducing disease. Data from this research may assist in developing effective management strategies for residues infested with G. zeae.

scholarly journals Validation of Molecular Markers for Use With Adapted Sources of Fusarium Head Blight Resistance in Wheat

Plant Disease ◽  
2017 ◽  
Vol 101 (7) ◽  
pp. 1292-1299 ◽  
Author(s):  
F. E. Bokore ◽  
R. E. Knox ◽  
R. M. DePauw ◽  
F. Clarke ◽  
R. D. Cuthbert ◽  
...  
Keyword(s):  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Phenotypic Selection ◽  
T Test ◽  
Head Blight ◽  
Breeding Populations ◽  
Molecular Variants ◽  
Fhb Resistance ◽  
Selection For ◽  
Sumai 3

Genetic control of resistance to Fusarium head blight (FHB) is quantitative, making phenotypic selection difficult. Genetic markers to resistance are helpful to select favorable genotypes. This study was conducted to determine if Fhb1 and Fhb5 present in the Sumai 3 source of FHB resistance occur in Sumai 3-derived North American spring wheat cultivars and to understand the appropriateness of using markers to select for the favorable alleles at these loci in breeding. Sumai 3-derived parents Alsen, ND3085, ND744, Carberry, and Glenn were used in crosses to generate 14 doubled haploid breeding populations. The parents and progeny were genotyped with five Fhb1 and three Fhb5 microsatellite markers. Progeny were selected based on performance relative to parents and other control cultivars in FHB nurseries near Portage la Prairie and Carman, MB. χ2 and t test analyses were performed on marker and FHB data. The χ2 test frequently determined the proportion of lines carrying molecular variants associated with FHB resistance increased following nursery selection for FHB. Similarly, the t test regularly demonstrated that selection for FHB resistance lowered the mean level of disease associated with resistant marker haplotypes. The study affirmed FHB resistance sources Alsen, Carberry, ND3085, and ND744 have Fhb1 and Fhb5 loci like Sumai 3, but no evidence was found that Glenn carries Fhb1 and Fhb5 resistance alleles. The results justified use of Fhb1 and Fhb5 markers for marker assisted selection in populations derived from Alsen, Carberry, ND3085, and ND744, but not Glenn. Combined or individual application of Xgwm493 and Xgwm533 in selection of genotypes carrying Fhb1, and Xgwm150, Xgwm304, and Xgwm595 for Fhb5 will enhance FHB resistance in wheat.

scholarly journals Transcript Abundance Responses of Resistance Pathways of Arabidopsis thaliana to Deoxynivalenol

2017 ◽  
Vol 2 (3) ◽  
pp. 154-161
Author(s):  
Jiazheng Yuan ◽  
Michelle Zhu ◽  
Khalid Meksem ◽  
Matt Geisler ◽  
Patrick Hart ◽  
...  
Keyword(s):  
Arabidopsis Thaliana ◽  
Fusarium Graminearum ◽  
Transcript Abundance ◽  
Triticum Aestivum L ◽  
Gibberella Zeae ◽  
Ear Rot ◽  
Head Blight ◽  
Soybean Roots ◽  
Stress Related Genes ◽  
Expressed Sequence

Mycotoxin deoxynivalenol (DON), produced by Gibberella zeae (Schwein.) Petch (teleomorph of Fusarium graminearum Schwabe) was known to be both a virulence factor in the pathogenesis of Triticum aestivum L. (wheat) and an inhibitor of Arabidopsis thaliana L. seed germination. Fusarium graminearum causes both Gibberella ear rot in maize (Zea mays L.) and Fusarium head blight (FHB) in wheat and barley. Arabidopsis thaliana was also a host for the related root rot pathogen F. virguliforme Aoki. A. thaliana seedling growth was reduced by the pathogen in a proportional response to increasing spore concentrations. Here, the changes in transcript abundances corresponding to 10,560 A. thaliana expressed sequence tags (ESTs) was compared with changes in 192 known plant defense and biotic/abiotic stress related genes in soybean roots after infestation with F. virguliforme. A parallel comparison with a set of resistance pathways involved in response to the DON toxicity in A. thaliana was performed. A. thaliana data was obtained from the AFGC depository. The variations of transcript abundances in Arabidopsis and soybean treated with pathogen suggest that both plants respond to the pathogen mainly by common, possibly global responses with some specific secondary metabolic pathways involved in defense. In contrast, DON toxin appeared to impact central metabolisms in Arabidopsis plants with significant alterations ranging from the protein metabolism to redox production. Several new putative resistance pathways involved in responding to both pathogen and DON infestation in soybean and A. thaliana were identified.

Methods of Assessing Fusarium Damage to Wheat Kernels

2019 ◽  
Vol 9 (2) ◽  
pp. 297-308
Author(s):  
Hussein M. Khaeim ◽  
Anthony Clark ◽  
Tom Pearson ◽  
Dr. David Van Sanford
Keyword(s):  
Seed Quality ◽  
Triticum Aestivum L ◽  
Air Separation ◽  
Mass Selection ◽  
Head Blight ◽  
Traditional Methods ◽  
Estimate Method ◽  
Highly Correlated ◽  
Level Of Significance ◽  
Wheat Kernels

Fusarium Head Blight (FHB), or head scab, primarily caused by Fusarium graminearum Schw., is a destructive disease of wheat (Triticum aestivum L.). It has reemerged worldwide as a disease of economic importance. Damage produced by the fungus includes: reduction of yield, mycotoxin contamination (DON), discolored, shriveled “tombstone” kernels and reduction in seed quality. The disease also reduces the test weight and lowers the market grade. Thus, there is great interest among breeders in selecting for resistance to both traits of DON and fusarium damaged kernel (FDK). This study was conducted to determine the effect of mass selection for FHB resistance using an image-based optical sorter compared to other methods. Fusariun damaged kernel (FDK) percentage on a count basis is more accurate than the weight basis, which was obvious in the visual estimate method although they were highly correlated. Visually adjusting the scabby portion (output of air separation machine) increases the accuracy of FDK percentage. Moderate correlations existed between FDK and DON measured by using traditional methods (FDK on basis of visual estimate, FDK on basis of air-separation, traditional methods of DON measurement), NIR, and image-based optical sorter. DON was correlated better with FDK measured by the image-based optical sorter than FDK measured by the air separation machine, NIR, or a visual estimate. The image-based optical sorter is easier to run, not time consuming compared to other methods since the speed of sorting can be adjusted according to the user, and its ability to detect variation among the populations at 0.05 level of significance. Over the twenty populations tested, the data suggest that the image-based optical sorter effectively provides a better way to assess FDK and DON. This method could accelerate FDK and DON assessment, and can be a great tool for breeding programs to assess and select for low FDK and DON.

INHERITANCE OF ALUMINUM TOLERANCE IN WHEAT

1978 ◽  
Vol 20 (3) ◽  
pp. 355-364 ◽  
Author(s):  
H. N. Lafever ◽  
L. G. Campbell
Keyword(s):  
Gene Selection ◽  
Single Gene ◽  
Aluminum Tolerance ◽  
Recessive Gene ◽  
Triticum Aestivum L ◽  
Leaf Length ◽  
Genetic Differences ◽  
Soft Red Winter Wheat ◽  
Nutrient Culture ◽  
Selection For

Aluminum tolerant and aluminum sensitive wheat (Triticum aestivum L. em Thell) cultivars representing different parental backgrounds were used to study the inheritance of response to aluminium. F1, F2, F3, and backcross generations from crosses of four soft red winter wheat cultivars were grown in nutrient solutions containing 8 ppm aluminum. There appeared to be no genetic differences between the two sensitive parents (Redcoat and Arthur) for aluminum response. The two tolerant parents (Seneca and Thorne) also exhibited no apparent genetic differences for aluminum response but were decidedly superior to the sensitive parents in the presence of aluminum. F1, F2, and backcross data from sensitive/tolerant crosses indicated that sensitivity was conditioned by a single recessive gene. Selection for aluminum sensitive plants in the F2 was effective, based upon their F3 family means. Selection for intermediate or tolerant plants was less effective, indicating that the inheritance was more complex than a single gene. Leaf length and roots/plant were found to be inferior to root length as measures of aluminum tolerance. These nutrient culture results were consistent with the occurrence of sensitive and intermediate lines and the absence of highly tolerant lines from breeding populations selected on limed soils.

OAC Flight soft red winter wheat

2013 ◽  
Vol 93 (6) ◽  
pp. 1261-1263 ◽  
Author(s):  
Lily Tamburic-Ilincic ◽  
Arend Smid
Keyword(s):  
Triticum Aestivum ◽  
Winter Wheat ◽  
Grain Yield ◽  
Fusarium Head Blight ◽  
Triticum Aestivum L ◽  
Head Blight ◽  
Soft Red Winter Wheat ◽  
Red Winter Wheat

Tamburic-Ilincic, L. and Smid, A. 2013. OAC Flight soft red winter wheat. Can. J. Plant Sci. 93: 1261–1263. OAC Flight is a soft red winter wheat (Triticum aestivum L.) cultivar registered for Ontario, Canada. It has high grain yield, with good pastry quality and similar resistance to Fusarium head blight (FHB) as the moderately susceptible check Emmit. OAC Flight is well adapted for the winter wheat growing areas of South Western Ontario.

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